Impoved RPN for Single Targets Detection based on the Anchor Mask Net

TL;DR

This paper introduces an anchor mask network to enhance RPN performance for single target detection, especially in video images, by incorporating prior knowledge, leading to improved results on VOT2016.

Contribution

The paper proposes a novel anchor mask network that improves RPN for single target detection by integrating prior knowledge, addressing challenges in video image detection.

Findings

Improved detection accuracy on VOT2016 dataset

Enhanced RPN performance for single targets

Effective handling of similar targets in images

Abstract

Common target detection is usually based on single frame images, which is vulnerable to affected by the similar targets in the image and not applicable to video images. In this paper , anchor mask is proposed to add the prior knowledge for target detection and an anchor mask net is designed to impove the RPN performance for single target detection. Tested in the VOT2016, the model perform better.